Innovative Computing Methods and their Applications to Engineering Problems

✍ Scribed by João Guilherme Sauer (auth.), Nadia Nedjah, Leandro dos Santos Coelho, Viviana Cocco Mariani, Luiza de Macedo Mourelle (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 172
• Series: Studies in Computational Intelligence 357
• Edition: 1
• Category: Library

✦ Synopsis

The design of most modern engineering systems entails the consideration of a good trade-off between the several targets requirements to be satisfied along the system life such as high reliability, low redundancy and low operational costs. These aspects are often in conflict with one another, hence a compromise solution has to be sought. Innovative computing techniques, such as genetic algorithms, swarm intelligence, differential evolution, multi-objective evolutionary optimization, just to name few, are of great help in founding effective and reliable solution for many engineering problems. Each chapter of this book attempts to using an innovative computing technique to elegantly solve a different engineering problem.

✦ Table of Contents

Front Matter....Pages -
A Discrete Differential Evolution Approach with Local Search for Traveling Salesman Problems....Pages 1-12
Genetic Algorithm Based Reliability Optimization in Interval Environment....Pages 13-36
PSO in Building Fuzzy Systems....Pages 37-52
Maintenance Optimization of Wind Turbine Systems Based on Intelligent Prediction Tools....Pages 53-71
Clonal Selection Algorithm Applied to Economic Dispatch Optimization of Electrical Energy....Pages 73-83
Dynamic Objectives Aggregation Methods in Multi-objective Evolutionary Optimization....Pages 85-103
Evolutionary IP Mapping for Efficient NoC-Based System Design Using Multi-objective Optimization....Pages 105-129
Theory and Applications of Chaotic Optimization Methods....Pages 131-161
Back Matter....Pages -

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)